Police Encounters, Agitation, Diagnosis, and Employment Predict Psychiatric Hospitalisation of Intensive Home Treatment Patients During a Psychiatric Crisis

Objective: This study aims to determine factors associated with psychiatric hospitalisation of patients treated for an acute psychiatric crisis who had access to intensive home treatment (IHT).Methods: This study was performed using data from a randomised controlled trial. Interviews, digital health records and eight internationally validated questionnaires were used to collect data from patients on the verge of an acute psychiatric crisis enrolled from two mental health organisations. Thirty-eight factors were assigned to seven risk domains. The seven domains are “sociodemographic”, “social engagement”, “diagnosis and psychopathology”, “aggression”, “substance use”, “mental health services” and “quality of life”. Multiple logistic regression analysis (MLRA) was conducted to assess how much pseudo variance in hospitalisation these seven domains explained. Forward MLRA was used to identify individual risk factors associated with hospitalisation. Risks were expressed in terms of relative risk (RR) and absolute risk difference (ARD).Results: Data from 183 participants were used. The mean age of the participants was 40.03 (SD 12.71), 57.4% was female, 78.9% was born in the Netherlands and 51.4% was employed. The range of explained variance for the domains related to “psychopathology and care” was between 0.34 and 0.08. The “aggression” domain explained the highest proportion (R2 = 0.34) of the variance in hospitalisation. “Quality of life” had the lowest explained proportion of variance (R2 = 0.05). The forward MLRA identified four predictive factors for hospitalisation: previous contact with the police or judiciary (OR = 7.55, 95% CI = 1.10–51.63; ARD = 0.24; RR = 1.47), agitation (OR = 2.80, 95% CI = 1.02–7.72; ARD = 0.22; RR = 1.36), schizophrenia spectrum and other psychotic disorders (OR = 22.22, 95% CI = 1.74–284.54; ARD = 0.31; RR = 1.50) and employment status (OR = 0.10, 95% CI = 0.01–0.63; ARD = −0.28; RR = 0.66).Conclusion: IHT teams should be aware of patients who have histories of encounters with the police/judiciary or were agitated at outset of treatment. As those patients benefit less from IHT due to the higher risk of hospitalisation. Moreover, type of diagnoses and employment status play an important role in predicting hospitalisation.

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The effects of intensive home treatment on self-efficacy in patients recovering from a psychiatric crisis

International Journal of Mental Health Systems ◽

10.1186/s13033-020-00426-y ◽

2021 ◽

Vol 15 (1) ◽

Author(s):

Ansam Barakat ◽

Matthijs Blankers ◽

Jurgen E Cornelis ◽

Nick M Lommerse ◽

Aartjan T F Beekman ◽

...

Keyword(s):

Quality Of Life ◽

Mental Disorders ◽

Self Efficacy ◽

Psychotic Disorders ◽

Rating Scale ◽

Small Sample ◽

Home Treatment ◽

Differential Effects ◽

Psychiatric Crisis

Abstract Background This study evaluated whether providing intensive home treatment (IHT) to patients experiencing a psychiatric crisis has more effect on self-efficacy when compared to care as usual (CAU). Self-efficacy is a psychological concept closely related to one of the aims of IHT. Additionally, differential effects on self-efficacy among patients with different mental disorders and associations between self-efficacy and symptomatic recovery or quality of life were examined. Methods Data stem from a Zelen double consent randomised controlled trial (RCT), which assesses the effects of IHT compared to CAU on patients who experienced a psychiatric crisis. Data were collected at baseline, 6 and 26 weeks follow-up. Self-efficacy was measured using the Mental Health Confidence Scale. The 5-dimensional EuroQol instrument and the Brief Psychiatric Rating Scale (BPRS) were used to measure quality of life and symptomatic recovery, respectively. We used linear mixed modelling to estimate the associations with self-efficacy. Results Data of 142 participants were used. Overall, no difference between IHT and CAU was found with respect to self-efficacy (B = − 0.08, SE = 0.15, p = 0.57), and self-efficacy did not change over the period of 26 weeks (B = − 0.01, SE = 0.12, t (103.95) = − 0.06, p = 0.95). However, differential effects on self-efficacy over time were found for patients with different mental disorders (F(8, 219.33) = 3.75, p < 0.001). Additionally, self-efficacy was strongly associated with symptomatic recovery (total BPRS B = − 0.10, SE = 0.02, p < 0.00) and quality of life (B = 0.14, SE = 0.01, p < 0.001). Conclusions Although self-efficacy was associated with symptomatic recovery and quality of life, IHT does not have a supplementary effect on self-efficacy when compared to CAU. This result raises the question whether, and how, crisis care could be adapted to enhance self-efficacy, keeping in mind the development of self-efficacy in depressive, bipolar, personality, and schizophrenia spectrum and other psychotic disorders. The findings should be considered with some caution. This study lacked sufficient power to test small changes in self-efficacy and some mental disorders had a small sample size. Trial registration This trial is registered at Trialregister.nl, number NL6020.

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An Internet-Based Study Examining the Factors Associated with the Physical and Mental Health Quality of Life of LGBT Cancer Survivors

LGBT Health ◽

10.1089/lgbt.2014.0075 ◽

2016 ◽

Vol 3 (1) ◽

pp. 65-73 ◽

Cited By ~ 6

Author(s):

Alicia K. Matthews ◽

Anna Hotton ◽

Chien-Ching Li ◽

Katherine Miller ◽

Amy Johnson ◽

...

Keyword(s):

Quality Of Life ◽

Mental Health ◽

Cancer Survivors ◽

Physical And Mental Health ◽

Factors Associated ◽

Health Quality ◽

Health Quality Of Life

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Factors associated with impaired quality of life three months after being diagnosed with COVID-19

Quality of Life Research ◽

10.1007/s11136-021-02998-9 ◽

2021 ◽

Author(s):

Verena Rass ◽

Bogdan-Andrei Ianosi ◽

Laura Zamarian ◽

Ronny Beer ◽

Sabina Sahanic ◽

...

Keyword(s):

Quality Of Life ◽

Mental Health ◽

Physical Health ◽

Traumatic Stress ◽

Post Traumatic Stress ◽

Factors Associated ◽

Sf 36 ◽

Post Traumatic ◽

Anxiety Depression

Abstract Purpose To assess patient characteristics associated with health-related quality of life (HR-QoL) and its mental and physical subcategories 3 months after diagnosis with COVID-19. Methods In this prospective multicentre cohort study, HR-QoL was assessed in 90 patients using the SF-36 questionnaire (36-item Short Form Health Survey), which consists of 8 health domains that can be divided into a mental and physical health component. Mental health symptoms including anxiety, depression, and post-traumatic stress disorders were evaluated using the Hospital Anxiety and Depression Scale (HADS) and Post-traumatic Stress Disorder Checklist-5 (PCL-5) 3 months after COVID-19. Using descriptive statistics and multivariable regression analysis, we identified factors associated with impaired HR-QoL 3 months after COVID-19 diagnosis. Results Patients were 55 years of age (IQR, 49–63; 39% women) and were classified as severe (23%), moderate (57%), or mild (20%) according to acute disease severity. HR-QoL was impaired in 28/90 patients (31%). Younger age [per year, adjOR (95%CI) 0.94 (0.88–1.00), p = 0.049], longer hospitalization [per day, adjOR (95%CI) 1.07 (1.01–1.13), p = 0.015], impaired sleep [adjOR (95%CI) 5.54 (1.2–25.61), p = 0.028], and anxiety [adjOR (95%CI) 15.67 (3.03–80.99), p = 0.001) were independently associated with impaired HR-QoL. Twenty-nine percent (n = 26) scored below the normal range on the mental health component of the SF-36 and independent associations emerged for anxiety, depression, and self-reported numbness. Impairments in the physical health component of the SF-36 were reported by 12 (13%) patients and linked to hypogeusia and fatigue. Conclusion Every third patient reported a reduction in HR-QoL 3 months after COVID-19 diagnosis and impairments were more prominent in mental than physical well-being.

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Deterioration in the health-related quality of life of persons with multiple sclerosis: the possible warning signs

Multiple Sclerosis Journal ◽

10.1177/1352458507078393 ◽

2007 ◽

Vol 13 (8) ◽

pp. 1038-1045 ◽

Cited By ~ 63

Author(s):

K.V.L. Turpin ◽

L.J. Carroll ◽

J.D. Cassidy ◽

W.J. Hader

Keyword(s):

Quality Of Life ◽

Mental Health ◽

Multiple Sclerosis ◽

Health Related Quality ◽

Illness Intrusiveness ◽

Factors Associated ◽

Sf 36 ◽

Related Quality ◽

Health Related

Baseline data from a population-based study examining the health-related quality of life (HRQL) of MS patients about to begin disease modifying therapy was used to determine the factors associated with the HRQL of Saskatchewan adults with relapsing-remitting MS. Participants completed a self-report questionnaire regarding demographic and socioeconomic status, fatigue, comorbid medical conditions, disability level (EDSS), number of attacks in past 6 months, illness intrusiveness (Illness Intrusiveness Ratings Scale), depression (Beck Depression Inventory), and HRQL (SF-36 Health Status Survey). Multiple linear regression models were used to identify the factors associated with the physical and mental health summary scores of the SF-36. We found poorer physical HRQL in those who are female; older; not working; have musculoskeletal or respiratory problems; greater fatigue, higher disability scores, and more MS attacks. High illness intrusiveness; digestive system problems; genitourinary problems; and headaches were associated with poorer mental HRQL. Interestingly, we found an interaction between sex and age in mental HRQL, with worse mental health in older men but better mental health in older women. These findings may assist health care providers in identifying patients who may be at risk for decline in their HRQL, permitting appropriate and timely interventions. Multiple Sclerosis 2007; 13: 1038—1045. http://msj.sagepub.com

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Employment Status and Associations with Workability, Quality of Life and Mental Health after Kidney Transplantation in Austria

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph17041254 ◽

2020 ◽

Vol 17 (4) ◽

pp. 1254 ◽

Cited By ~ 3

Author(s):

Galateja Jordakieva ◽

Igor Grabovac ◽

Margarete Steiner ◽

Wolfgang Winnicki ◽

Sabine Zitta ◽

...

Keyword(s):

Quality Of Life ◽

Mental Health ◽

Kidney Transplantation ◽

Employment Status ◽

Brief Symptom Inventory ◽

World Health ◽

Kidney Transplant Recipients ◽

World Health Organization Quality ◽

Working Age

Kidney transplantation (KTx) in end-stage renal disease is associated with a significant increase in quality of life (QoL) and self-perceived health, optimally leading to the maintenance of employment or return to work (RTW) in working-age patients. The aim of this study was to assess individual factors including the QoL and mental health of kidney transplant recipients (KTRs) associated with employment after transplantation. A cross-sectional study including working-age patients with a history of KTx after 2012 was conducted at two Austrian study centers (Vienna and Graz). Brief Symptom Inventory (BSI-18), World Health Organization Quality of Life (WHOQOL-Bref) and Workability Index (WAI) were assessed along with detailed questionnaires on employment status. Out of n = 139 KTRs (43.2 ± 9.07 years; 57.6% male), 72 (51.8%) were employed. Employed patients were more frequently in a partnership (p = 0.018) and had higher education levels (p = 0.01) and QoL scores (<0.001). Unemployed KTRs reported fatigue and mental health issues more often (p < 0.001), and had significantly higher anxiety, depression and somatization scores (BSI-18). In unadjusted logistical regression, workability score (WAS; odds ratio (OR) = 3.39; 95% confidence interval (CI) = 1.97–5.82; p < 0.001), partnership (OR = 5.47; 95% CI 1.43–20.91; p = 0.013) and no psychological counseling after KTx (OR = 0.06; 95% CI = 0.003–0.969; p = 0.048) were independently associated with employment. Self-assessed mental health, workability and QoL were significantly associated with employment status after KTx. Thus, in order to facilitate RTW after KTx in Austria, vocational rehabilitation and RTW programs addressing KTRs should focus on increasing social support and care for their mental health.

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Factors Associated with SF-12 Physical and Mental Health Quality of Life Scores in Adults with Stroke

Journal of Stroke and Cerebrovascular Diseases ◽

10.1016/j.jstrokecerebrovasdis.2011.09.007 ◽

2013 ◽

Vol 22 (4) ◽

pp. 309-317 ◽

Cited By ~ 28

Author(s):

Charles Ellis ◽

Anouk L. Grubaugh ◽

Leonard E. Egede

Keyword(s):

Quality Of Life ◽

Mental Health ◽

Physical And Mental Health ◽

Factors Associated ◽

Health Quality ◽

Health Quality Of Life

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Mental health status and quality of life of people with disabilities in social isolation

Journal of Human Growth and Development ◽

10.36311/jhgd.v31.12619 ◽

2021 ◽

Vol 31 (3) ◽

pp. 470-475

Author(s):

Alan Patricio Silva ◽

Leticia Maria Factore Pacheco ◽

Francisco Leitão ◽

Matheus Paiva Emidio Cavalcanti ◽

João Batista Francalino da Rocha ◽

...

Keyword(s):

Quality Of Life ◽

Mental Health ◽

Family Relationships ◽

Social Withdrawal ◽

Self Care ◽

People With Disabilities ◽

Factors Associated ◽

The Impact ◽

Parents And Caregivers

Introduction: at this critical moment of the COVID -19 pandemic, we observe the social withdrawal and the break from the routine of individuals in society, for people with disabilities who need adequate support and a routine of more intense and effective activities may feel a greater need for care and attention of family support for solving everyday problems. Objective: to identify factors associated with the impact of the pandemic on the quality of life of individuals with disabilities and their caregivers. Methods: a virtual survey was carried out with parents and caregivers of people with disabilities to identify the main factors associated with the impact of the Pandemic on daily life and social relationships between family and community. Results: of the parents and caregivers we had access to and answered the questionnaire, 90% are residents of the ABC region of São Paulo. Their children and adolescents with disabilities are between 4 and 18 years old. The main scores of caregivers on difficulties in care during the pandemic, 70% felt helpless at some point, 17% had difficulties in performing self-care activities, 42% had anguish and fear during the period, 83% have the greatest responsibility for household decisions, and about 50% can share those decisions. Conclusion: the main complaints about the care of people with disabilities during the COVID-19 pandemic are related to the feeling of fear and anguish that affects decision-making and family relationships, which influences self-care activities and mental health of this population.

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Common Mental Health Disorders among Informal Waste Pickers in Johannesburg, South Africa 2018—A Cross-Sectional Study

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph16142618 ◽

2019 ◽

Vol 16 (14) ◽

pp. 2618 ◽

Cited By ~ 2

Author(s):

Matimba Makhubele ◽

Khuliso Ravhuhali ◽

Lazarus Kuonza ◽

Angela Mathee ◽

Spo Kgalamono ◽

...

Keyword(s):

Quality Of Life ◽

Mental Health ◽

Common Mental Disorders ◽

Cross Sectional Study ◽

Sectional Study ◽

Cross Sectional ◽

Factors Associated ◽

Self Reporting Questionnaire ◽

Waste Pickers

Waste-picking is an income-generating opportunity for individuals living in poverty. Waste picking is associated with a range of risk factors for common mental disorders (CMD). This study aimed to determine the prevalence and factors associated with CMD among waste pickers in Johannesburg. A cross-sectional study analyzed secondary data for 365 waste pickers. A validated Self-Reporting Questionnaire (SRQ-20) was used to assess CMD. Multivariable logistic regression was fitted to identify factors associated with CMD. The overall prevalence of CMD among waste pickers was 37.3%. The odds of having CMD were 2.5 and 3.2 higher in females and cigarette smokers, respectively (p = 0.019 and p = 0.003). Life enjoyment (Adjusted odds ratio [aOR] 0.54, p = 0.02) and a good quality of life (aOR 0.34, p ≤ 0.001) were associated with lower odds of CMD. The high prevalence of CMD among waste pickers was significantly associated with cigarette smoking, being female, not enjoying life, and a poor quality of life. Mental health awareness of CMD will assist with the prevention, early detection, and comprehensive management of CMD among waste pickers.

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